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Americans
GP: 82 | W: 61 | L: 18 | OTL: 3 | P: 125
GF: 336 | GA: 135 | PP%: 17.89% | PK%: 90.00%
DG: Jason | Morale : 50 | Moyenne d’équipe : 60

Centre de jeu
Americans
61-18-3, 125pts
2
FINAL
1 Comets
25-48-9, 59pts
Team Stats
W2SéquenceL4
32-8-1Fiche domicile14-21-6
29-10-2Fiche domicile11-27-3
5-4-1Derniers 10 matchs4-5-1
4.10Buts par match 2.61
1.65Buts contre par match 3.71
17.89%Pourcentage en avantage numérique9.12%
90.00%Pourcentage en désavantage numérique78.38%
Marlies
55-24-3, 113pts
1
FINAL
4 Americans
61-18-3, 125pts
Team Stats
L1SéquenceW2
28-10-3Fiche domicile32-8-1
27-14-0Fiche domicile29-10-2
6-3-1Derniers 10 matchs5-4-1
3.59Buts par match 4.10
2.20Buts contre par match 1.65
18.59%Pourcentage en avantage numérique17.89%
86.35%Pourcentage en désavantage numérique90.00%
Meneurs d'équipe
Jakub VranaButs
Jakub Vrana
58
Daniel SprongPasses
Daniel Sprong
64
Jakub VranaPoints
Jakub Vrana
105
Trevor LewisPlus/Moins
Trevor Lewis
82
Victoires
Arturs Silovs
3
Pourcentage d’arrêts
Arturs Silovs
0.857

Statistiques d’équipe
Buts pour
336
4.10 GFG
Tirs pour
2121
25.87 Avg
Pourcentage en avantage numérique
17.9%
68 GF
Début de zone offensive
42.4%
Buts contre
135
1.65 GAA
Tirs contre
1295
15.79 Avg
Pourcentage en désavantage numérique
90.0%%
43 GA
Début de la zone défensive
35.7%
Informations de l'équipe

Directeur généralJason
EntraîneurMike Yeo
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,880
Billets de saison0


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 51
Espoirs32


Historique d'équipe

Saison actuelle61-18-3 (125PTS)
Historique61-18-5 (0.726%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)3 - 4 (0.429%)
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Trevor LewisXXX100.008245897475567759546059685987936550650391775,000$
2Daniel SprongXX100.0076449782716266712663585963686964506402911,500,000$
3Jakub VranaXX100.006542918271565962366174596969716950640301800,000$
4Ross JohnstonX100.0096995670895262622557556625646561506203211,100,000$
5Nicolas Aube-KubelX100.008375767877545662565557702566686350620293800,000$
6Justin DowlingXX100.007543957265567659696056652560616250610352775,000$
7Lucas CondottaXX100.007478666778798655695946624445455850600281775,000$
8Luke PhilpX100.007366906566707360755956635344446250600301775,000$
9Justin Sourdif (R)X100.006566646766626264506065606244446350600242902,500$
10Brendan SmithXX100.00789672737761546025524874257881605066N0371775,000$
11Andreas EnglundX100.008799637080625658254548792562635950650302900,000$
12Nikolas Matinpalo (R)X100.006743857379608459254647662548485950620274875,000$
13Dylan McIlrathX100.008799566693574459255047672555565850620331800,000$
14Nick DeSimoneX100.006943997072675458255948672550506050610311775,000$
15Matthew Robertson (R)X100.007880746880737951254939633744445550610251896,667$
16Max CrozierX100.007372756072606252254941753944445350600251867,500$
17Brandon ScanlinX100.008381876381748246253443644144445450600264775,000$
Rayé
1Julien GauthierXX100.008584868084433867506463756061626750650281775,000$
2Joel TeasdaleXX100.007676776576717751504751624844445750570271775,000$
3Ondrej PavelXXX100.007679686479525253665051624844445650560251870,000$
4Cameron ButlerX100.007381536381545746504046594444445050520232858,333$
5Declan Carlile (R)X100.007373747273697548253843604144445350590255775,000$
6Marshall RifaiX100.007375676575727947253741593944445150580285775,000$
7Sebastian Aho2X100.007264906464505053255339603744455350560302825,000$
8Alex Kannok LeipertX100.006973616473505245253341573944444850530251800,000$
MOYENNE D’ÉQUIPE100.00767176697661645639515065415454585060
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Arturs Silovs (R)100.00595251836552696065597545466050600251796,111$
Rayé
MOYENNE D’ÉQUIPE100.0059525183655269606559754546605060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo74707669767174CAN511925,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Jakub Vrana Americans (BUF)LW/RW8058471057414021932756616521.09%11147618.4515122751270011131717247.39%23000031.420200010105
2Daniel Sprong Americans (BUF)LW/RW80386410268320641232065015318.45%8163420.449202927264246113115048.08%10400011.25140009116
3Trevor Lewis Americans (BUF)C/LW/RW8024628682114101771351703511814.12%14163920.504192327260314163094259.26%157600001.0503010854
4Nicolas Aube-Kubel Americans (BUF)RW803041714438075971844817516.30%15151018.897121932256224162295071.58%9500000.9401000843
5Justin Dowling Americans (BUF)C/LW8226416743140161281765712414.77%7140217.1061016332672132939165.28%132200010.9600000336
6Ross Johnston Americans (BUF)LW823132634914020250601825711117.03%11139917.0758132422000071465443.29%16400020.9001013627
7Justin Sourdif Americans (BUF)C8233306351320821062125414915.57%6132016.1111215840001119260.78%56600010.9500000337
8Nikolas Matinpalo Americans (BUF)D809425150120254755245216.36%41148418.5571017282190221270210%000000.6900000211
9Grant HuttonSabresD6910384862220364954305118.52%50144120.9041115302211343276100%000000.6700000113
10Andreas Englund Americans (BUF)D659364566100101624789475010.11%39134620.725813372111235242210%000000.6700002323
11Lucas Condotta Americans (BUF)C/LW821332452874013011913336929.77%13139817.0604468101111420262.98%96700000.6400000242
12Dylan McIlrath Americans (BUF)D8212324445177252243654173022.22%38135616.54088261682023194300%000000.6500212215
13Nick DeSimone Americans (BUF)D824343837200355036133511.11%31110513.482139620111471150.00%400000.6900000024
14Luke Philp Americans (BUF)C771916353132034801593812111.95%8115014.941125440000244072.22%23400000.6100000141
15Matthew Robertson Americans (BUF)D82418223211010167253041413.33%31109613.381125190110760050.00%200000.4000101022
16Brendan Smith Americans (BUF)LW/D26781514160412460164211.67%749018.8710111890110991050.00%1800000.6112000120
17Max Crozier Americans (BUF)D6111213131402421156186.67%134978.160225430000390050.00%200000.5200000001
18Ondrej Pavel Americans (BUF)C/LW/RW22466000273328.57%1136.6200000000010077.78%1800009.0700000010
19Brandon Scanlin Americans (BUF)D5932515200404114927.27%93626.15000370000410100.00%100000.2800000000
20Joel Teasdale Americans (BUF)LW/RW211212070131127.69%03618.39000000000300100.00%100001.0900000000
Statistiques d’équipe totales ou en moyenne133533459292681198375161012462121606152415.75%3532216716.60681281963742795132033802699591661.20%530400080.84213338595860
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Victor OstmanSabres77581720.9001.57458181612011960300.90911770431
2Arturs Silovs Americans (BUF)83100.8572.4232300139100000580000
Statistiques d’équipe totales ou en moyenne85611820.8971.6349058161331287030118280431


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex Kannok Leipert Americans (BUF)D252000-07-20THINo200 Lbs6 ft0NoNoFree AgentNoYes12024-08-16FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Andreas Englund Americans (BUF)D301996-01-21SWENo200 Lbs6 ft4NoNoTrade2025-08-16NoYes22024-08-04FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Arturs Silovs Americans (BUF)G252001-03-22LATYes203 Lbs6 ft4NoNoN/ANoYes1FalseFalsePro & Farm796,111$0$0$No---------------------------Lien
Brandon Scanlin Americans (BUF)D261999-06-02CANNo216 Lbs6 ft4NoNoFree AgentNoYes42025-08-15FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Brendan Smith Americans (BUF)LW/D371989-02-08CANNo200 Lbs6 ft2YesNoFree AgentNoYes12025-09-05FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Cameron Butler Americans (BUF)RW232002-06-09CANNo215 Lbs6 ft4NoNoAssign ManuallyNoNo22024-06-12FalseFalsePro & Farm858,333$0$0$No858,333$--------858,333$--------No--------Lien
Daniel Sprong Americans (BUF)LW/RW291997-03-17NEDNo195 Lbs6 ft0NoNoFree Agent2024-01-13NoYes12024-07-04FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien / Lien NHL
Declan Carlile Americans (BUF)D252000-05-18USAYes192 Lbs6 ft3NoNoFree AgentNoYes52025-08-15FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----Lien
Dylan McIlrath Americans (BUF)D331992-04-20CANNo240 Lbs6 ft5NoNoN/ANoYes1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Jakub Vrana Americans (BUF)LW/RW301996-02-28CZENo197 Lbs6 ft0NoNoFree Agent2024-03-17NoYes12024-08-16FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Joel Teasdale Americans (BUF)LW/RW271999-03-11CANNo210 Lbs6 ft0NoNoN/ANoYes1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Julien Gauthier Americans (BUF)LW/RW281997-10-15CANNo225 Lbs6 ft4NoNoTrade2025-08-16NoYes12025-08-15FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Justin Dowling Americans (BUF)C/LW351990-10-01CANNo180 Lbs5 ft10NoNoN/ANoYes2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Justin Sourdif Americans (BUF)C242002-03-24CANYes181 Lbs5 ft11NoNoAssign ManuallyNoNo22024-06-30FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------Lien
Lucas Condotta Americans (BUF)C/LW281997-11-06CANNo218 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Luke Philp Americans (BUF)C301995-11-06CANNo185 Lbs5 ft10NoNoN/ANoYes1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Marshall Rifai Americans (BUF)D281998-03-16CANNo200 Lbs6 ft2NoNoFree AgentNoYes52025-08-15FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----Lien
Matthew Robertson Americans (BUF)D252001-03-09CANYes211 Lbs6 ft4NoNoN/ANoYes1FalseFalsePro & Farm896,667$0$0$No---------------------------Lien
Max Crozier Americans (BUF)D252000-04-19ABNo192 Lbs6 ft2NoNoFree AgentNoYes12025-08-01FalseFalsePro & Farm867,500$0$0$No---------------------------Lien
Nick DeSimone Americans (BUF)D311994-11-21USANo194 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Nicolas Aube-Kubel Americans (BUF)RW291996-05-10CANNo213 Lbs6 ft0NoNoFree AgentNoYes32024-08-08FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien / Lien NHL
Nikolas Matinpalo Americans (BUF)D271998-10-05FINYes211 Lbs6 ft3NoNoFree AgentNoYes42025-08-15FalseFalsePro & Farm875,000$0$0$No875,000$875,000$875,000$------875,000$875,000$875,000$------NoNoNo------Lien
Ondrej Pavel Americans (BUF)C/LW/RW252000-08-29CZENo218 Lbs6 ft2NoNoAssign ManuallyNoYes12024-06-12FalseFalsePro & Farm870,000$0$0$No---------------------------Lien
Ross Johnston Americans (BUF)LW321994-02-18CANNo232 Lbs6 ft5NoNoN/ANoYes1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien / Lien NHL
Sebastian Aho2 Americans (BUF)D301996-02-17SWENo177 Lbs5 ft11NoNoAssign ManuallyNoYes22025-08-01FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Lien
Trevor Lewis Americans (BUF)C/LW/RW391987-01-08USANo205 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2628.69204 Lbs6 ft21.81850,620$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Daniel SprongTrevor LewisJakub Vrana40122
2Ross JohnstonJustin DowlingNicolas Aube-Kubel30122
3Justin SourdifLucas CondottaLuke Philp20122
4Trevor LewisJustin SourdifDaniel Sprong10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Nikolas MatinpaloDylan McIlrath30122
3Nick DeSimoneMatthew Robertson20122
4Max CrozierBrandon Scanlin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Daniel SprongTrevor LewisJakub Vrana60122
2Ross JohnstonJustin DowlingNicolas Aube-Kubel40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Nikolas MatinpaloDylan McIlrath40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Trevor LewisDaniel Sprong60122
2Jakub VranaNicolas Aube-Kubel40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Nikolas MatinpaloDylan McIlrath40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Trevor Lewis6012260122
2Daniel Sprong40122Nikolas MatinpaloDylan McIlrath40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Trevor LewisDaniel Sprong60122
2Jakub VranaNicolas Aube-Kubel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Nikolas MatinpaloDylan McIlrath40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Daniel SprongTrevor LewisJakub Vrana
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Daniel SprongTrevor LewisJakub Vrana
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lucas Condotta, Luke Philp, Ross JohnstonLucas Condotta, Luke PhilpRoss Johnston
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick DeSimone, Matthew Robertson, Max CrozierNick DeSimoneMatthew Robertson, Max Crozier
Tirs de pénalité
Trevor Lewis, Daniel Sprong, Jakub Vrana, Nicolas Aube-Kubel, Ross Johnston
Gardien
#1 : , #2 : Arturs Silovs
Lignes d’attaque personnalisées en prolongation
Trevor Lewis, Daniel Sprong, Jakub Vrana, Nicolas Aube-Kubel, Ross Johnston, Justin Dowling, Lucas Condotta, Justin Sourdif, Luke Philp,
Lignes de défense personnalisées en prolongation
, , Nikolas Matinpalo, Dylan McIlrath, Nick DeSimone


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals541000002471722000000123932100000124880.8002443670211910810451806707127252774246410216318.75%32487.50%31454225364.54%1079189756.88%719116161.93%251318951495495939529
2Barracuda211000002201010000012-11100000010120.500235011191081045396707127252739142037500.00%90100.00%01454225364.54%1079189756.88%719116161.93%251318951495495939529
3Bears2200000015213110000008171100000071641.000152742001191081045736707127252726716555240.00%7185.71%11454225364.54%1079189756.88%719116161.93%251318951495495939529
4Bruins22000000532110000002111100000032141.00059140011910810453567071272527368213913215.38%70100.00%01454225364.54%1079189756.88%719116161.93%251318951495495939529
5Canucks2100000110821000000145-11100000063330.75010152500119108104545670712725274012343917317.65%16475.00%01454225364.54%1079189756.88%719116161.93%251318951495495939529
6Checkers2110000023-11010000003-31100000020220.50023501119108104527670712725272712334410110.00%14192.86%01454225364.54%1079189756.88%719116161.93%251318951495495939529
7Comets22000000918110000007071100000021141.0009182701119108104566670712725272722450300.00%120100.00%11454225364.54%1079189756.88%719116161.93%251318951495495939529
8Condors21000100844110000006151000010023-130.750812200011910810453667071272527491344401119.09%15286.67%01454225364.54%1079189756.88%719116161.93%251318951495495939529
9Crunch22000000615110000002021100000041341.000610160111910810453967071272527288184312216.67%90100.00%01454225364.54%1079189756.88%719116161.93%251318951495495939529
10Eagles2110000045-1110000002111010000024-220.50047110011910810452767071272527321427341218.33%9188.89%01454225364.54%1079189756.88%719116161.93%251318951495495939529
11Firebirds44000000304262200000015213220000001521381.00030528200119108104515967071272527481144793266.67%22195.45%11454225364.54%1079189756.88%719116161.93%251318951495495939529
12Griffins2110000056-11010000035-21100000021120.500591400119108104543670712725273313243917423.53%10280.00%01454225364.54%1079189756.88%719116161.93%251318951495495939529
13Gulls220000001701711000000707110000001001041.00017324902119108104597670712725271121539300.00%50100.00%01454225364.54%1079189756.88%719116161.93%251318951495495939529
14Ice Hogs44000000274232200000012111220000001531281.0002745720111910810451896707127252751837709222.22%110100.00%11454225364.54%1079189756.88%719116161.93%251318951495495939529
15Islanders220000001239110000004131100000082641.000122436001191081045676707127252725918507114.29%80100.00%11454225364.54%1079189756.88%719116161.93%251318951495495939529
16Marlies31200000761211000004221010000034-120.3337121900119108104557670712725274712385422313.64%17288.24%01454225364.54%1079189756.88%719116161.93%251318951495495939529
17Monsters211000005411010000012-11100000042220.50056110011910810454267071272527411728375120.00%11190.91%01454225364.54%1079189756.88%719116161.93%251318951495495939529
18Moose422000009812110000045-12110000053240.5009162500119108104559670712725277111497834514.71%22290.91%01454225364.54%1079189756.88%719116161.93%251318951495495939529
19Penguins220000001239110000007251100000051441.000122335001191081045816707127252728221406233.33%80100.00%01454225364.54%1079189756.88%719116161.93%251318951495495939529
20Phantoms2110000035-2110000002111010000014-320.500369001191081045446707127252750922481200.00%110100.00%01454225364.54%1079189756.88%719116161.93%251318951495495939529
21Reign2020000047-31010000024-21010000023-100.000471100119108104527670712725273413243814214.29%11190.91%01454225364.54%1079189756.88%719116161.93%251318951495495939529
22Roadrunners2200000015411110000007251100000082641.000152540001191081045586707127252726620467342.86%9277.78%21454225364.54%1079189756.88%719116161.93%251318951495495939529
23Rocket311000101064110000005142010001055040.6671016260011910810455767071272527561842601616.25%19384.21%11454225364.54%1079189756.88%719116161.93%251318951495495939529
24Senators20101000220100010002111010000001-120.500246001191081045286707127252730724358112.50%120100.00%01454225364.54%1079189756.88%719116161.93%251318951495495939529
25Silver Knights41201000912-32010100023-12110000079-240.5009172601119108104566670712725278122727122313.64%34585.29%01454225364.54%1079189756.88%719116161.93%251318951495495939529
26Stars440000002351822000000142122200000093681.00023436602119108104513867071272527621436868450.00%16381.25%01454225364.54%1079189756.88%719116161.93%251318951495495939529
27Thunderbirds550000003333033000000222202200000011110101.0003358910211910810451746707127252746155811616743.75%190100.00%21454225364.54%1079189756.88%719116161.93%251318951495495939529
28Wild4300001014592100001010462200000041381.00014253901119108104578670712725277428537426623.08%17288.24%01454225364.54%1079189756.88%719116161.93%251318951495495939529
29Wolf Pack21000001541110000003121000000123-130.750510150011910810453267071272527358403516318.75%13284.62%01454225364.54%1079189756.88%719116161.93%251318951495495939529
30Wolves2010100023-1100010001011010000013-220.5002460111910810453467071272527311126371317.69%12191.67%01454225364.54%1079189756.88%719116161.93%251318951495495939529
31Wranglers22000000752110000003211100000043141.000713200011910810452467071272527378313312216.67%13376.92%01454225364.54%1079189756.88%719116161.93%251318951495495939529
Total825618031223361352014128803011174601144128100011116275871250.76233659493001611910810452121670712725271295358102316483806817.89%4304390.00%131454225364.54%1079189756.88%719116161.93%251318951495495939529
_Since Last GM Reset825618031223361352014128803011174601144128100011116275871250.76233659493001611910810452121670712725271295358102316483806817.89%4304390.00%131454225364.54%1079189756.88%719116161.93%251318951495495939529
_Vs Conference4836901110226751512418401010119348524185001001074166770.80222639862401211910810451351670712725277352035949431984120.71%2442689.34%91454225364.54%1079189756.88%719116161.93%251318951495495939529
_Vs Division30275010101494110815132010108320631514300000662145580.967149262411081191081045903670712725274361203446061283124.22%1351489.63%81454225364.54%1079189756.88%719116161.93%251318951495495939529

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82125W23365949302121129535810231648016
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8256183122336135
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41288301117460
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
412810011116275
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3806817.89%4304390.00%13
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
670712725271191081045
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
1454225364.54%1079189756.88%719116161.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
251318951495495939529


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
211Thunderbirds1 Americans9WSommaire du match
324 Americans3Admirals4LSommaire du match
641 Americans2Stars0WSommaire du match
754Stars0 Americans8WSommaire du match
1070 Americans4Rocket3WXXSommaire du match
1184 Americans4Admirals0WSommaire du match
1394Ice Hogs1 Americans5WSommaire du match
16111 Americans8Ice Hogs2WSommaire du match
18124Firebirds1 Americans7WSommaire du match
20145Silver Knights0 Americans1WXSommaire du match
24169 Americans1Wild0WSommaire du match
26180Thunderbirds0 Americans5WSommaire du match
28200 Americans4Moose1WSommaire du match
30210Moose3 Americans0LSommaire du match
32232Wild3 Americans4WXXSommaire du match
33237 Americans5Thunderbirds0WSommaire du match
36260 Americans7Firebirds1WSommaire du match
38272Checkers3 Americans0LSommaire du match
41290 Americans4Wranglers3WSommaire du match
43305Rocket1 Americans5WSommaire du match
45327 Americans5Penguins1WSommaire du match
47338Thunderbirds1 Americans8WSommaire du match
50363 Americans1Moose2LSommaire du match
52370Condors1 Americans6WSommaire du match
55394Roadrunners2 Americans7WSommaire du match
57411 Americans8Roadrunners2WSommaire du match
59424 Americans7Bears1WSommaire du match
60435Silver Knights3 Americans1LSommaire du match
62455Wild1 Americans6WSommaire du match
65475 Americans5Admirals0WSommaire du match
67487 Americans8Firebirds1WSommaire du match
68496Wolf Pack1 Americans3WSommaire du match
71520Bruins1 Americans2WSommaire du match
73531 Americans2Checkers0WSommaire du match
76552 Americans7Stars3WSommaire du match
78564Moose2 Americans4WSommaire du match
80577 Americans6Canucks3WSommaire du match
82594Penguins2 Americans7WSommaire du match
85617Eagles1 Americans2WSommaire du match
87630 Americans2Condors3LXSommaire du match
89645 Americans1Barracuda0WSommaire du match
90657Crunch0 Americans2WSommaire du match
93681Islanders1 Americans4WSommaire du match
95692 Americans1Wolves3LSommaire du match
98716Ice Hogs0 Americans7WSommaire du match
100732 Americans2Eagles4LSommaire du match
102746Senators1 Americans2WXSommaire du match
104765 Americans2Wolf Pack3LXXSommaire du match
106777Comets0 Americans7WSommaire du match
108789 Americans3Marlies4LSommaire du match
112812Bears1 Americans8WSommaire du match
114834 Americans4Crunch1WSommaire du match
116845Admirals2 Americans7WSommaire du match
118858 Americans10Gulls0WSommaire du match
120873 Americans3Wild1WSommaire du match
122881Wolves0 Americans1WXSommaire du match
124902 Americans2Griffins1WSommaire du match
125910 Americans4Monsters2WSommaire du match
127921Firebirds1 Americans8WSommaire du match
130942Monsters2 Americans1LSommaire du match
132957 Americans6Thunderbirds1WSommaire du match
134970 Americans1Rocket2LSommaire du match
135982Reign4 Americans2LSommaire du match
1381003 Americans8Islanders2WSommaire du match
1401013Gulls0 Americans7WSommaire du match
1431035 Americans3Bruins2WSommaire du match
1451048Stars2 Americans6WSommaire du match
1481067 Americans0Senators1LSommaire du match
1491078Marlies1 Americans0LSommaire du match
1511089 Americans2Reign3LSommaire du match
1531110Wranglers2 Americans3WSommaire du match
1551121 Americans5Silver Knights4WSommaire du match
1571136 Americans1Phantoms4LSommaire du match
1591148Griffins5 Americans3LSommaire du match
1621174Barracuda2 Americans1LSommaire du match
1661200Phantoms1 Americans2WSommaire du match
1681217 Americans2Silver Knights5LSommaire du match
1701233Admirals1 Americans5WSommaire du match
1711244 Americans7Ice Hogs1WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1751267Canucks5 Americans4LXXSommaire du match
1761276 Americans2Comets1WSommaire du match
1811310Marlies1 Americans4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance37,75939,318
Assistance PCT46.05%95.90%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1880 - 62.66% 92,095$3,775,900$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,201,424$ 2,211,611$ 2,211,611$ 925,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,020$ 2,276,322$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 17,047$ 0$




Americans Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Jakub Vrana8058471057414219327521.09%11147618.4515122751011137247.39%31.4202
2Daniel Sprong80386410268326412320618.45%8163420.449202927246115048.08%11.2514
3Trevor Lewis802462868211417713517014.12%14163920.504192327314164259.26%01.0503
4Nicolas Aube-Kubel803041714438759718416.30%15151018.897121932224165071.58%00.9401
5Justin Dowling8226416743141612817614.77%7140217.10610163321329165.28%10.9600

Americans Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Victor Ostman77581720.9001.57458181612011960300.90911
2Arturs Silovs83100.8572.4232300139100000

Americans Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
20258256180312233613520141288030111746011441281000111162758712533659493001611910810452121670712725271295358102316483806817.89%4304390.00%131454225364.54%1079189756.88%719116161.93%251318951495495939529
Total Saison régulière8256180312233613520141288030111746011441281000111162758712533659493001611910810452121670712725271295358102316483806817.89%4304390.00%131454225364.54%1079189756.88%719116161.93%251318951495495939529
Séries éliminatoires
20247340000026215330000002151640400000516-116264773008108018251636621673497145461021.74%46491.30%012123052.61%9119446.91%5510950.46%184130157468041
Total Séries éliminatoires7340000026215330000002151640400000516-116264773008108018251636621673497145461021.74%46491.30%012123052.61%9119446.91%5510950.46%184130157468041

Americans Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Justin Dowling73912-223161323.08%215822.59257800010050.47%01.5200
2David Gust76511063112722.22%111816.862461300001075.00%11.8600
3Sebastian AhoD7167-3469137.69%216123.11033100000000%00.8700
4Nick DeSimone71561228137.69%114821.23123120000010%00.8100
5Aku Raty7426-105122615.38%111716.841121500000015.38%01.0200

Americans Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Arturs Silovs73310.8703.10387202015400000
2Matthew Murray20000.9231.77340011300000